基于杂交粒子群算法的FIR数字滤波器设计

计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (20): 168-171.

• 数据库、信号与信息处理 • 上一篇下一篇

基于杂交粒子群算法的FIR数字滤波器设计

王瑞峰，孔维珍，占雪梅

兰州交通大学自动化与电气工程学院，兰州 730070

出版日期:2012-07-11 发布日期:2012-07-10

FIR digital filter design based on crossbreeding particle swarm optimization algorithm

WANG Ruifeng, KONG Weizhen, ZHAN Xuemei

School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Online:2012-07-11 Published:2012-07-10

摘要/Abstract

摘要： 介绍了杂交粒子群算法的原理，通过三个典型Benchmark函数对该算法的收敛精度进行了测试。将杂交粒子群算法应用到FIR数字滤波器的设计中，从而计算出FIR数字滤波器的系数。通过高通和带通两个实例进行仿真实验，并与Parks-McClellan算法设计的滤波器进行对比，结果表明，采用杂交粒子群算法设计FIR数字滤波器具有更好的通带和阻带特性，是一种有效的方法。

关键词: 杂交粒子群算法, 有限脉冲响应（FIR）数字滤波器, Parks-McClellan算法

Abstract: Crossbreeding particle swarm optimization algorithm is described. The algorithm is tested by three typical Benchmark function and shows that it has better convergence accuracy. It uses this algorithm to design FIR digital filter, and calculates the coefficients of FIR digital filter. By experiments on high-pass and band-pass FIR digital filters, compared with Parks-McClellan, it shows that, crossbreeding particle swarm optimization algorithm is superior to Parks-McClellan, and the effectiveness of algorithm is also demonstrated.

Key words: crossbreeding particle swarm optimization, Finite Impulse Response（FIR） digital filter, Parks-McClellan algorithm

王瑞峰，孔维珍，占雪梅. 基于杂交粒子群算法的FIR数字滤波器设计[J]. 计算机工程与应用, 2012, 48(20): 168-171.

WANG Ruifeng, KONG Weizhen, ZHAN Xuemei. FIR digital filter design based on crossbreeding particle swarm optimization algorithm[J]. Computer Engineering and Applications, 2012, 48(20): 168-171.

[1]	周飞红^1,2,刘辉¹,廖子贞³. 粒子群优化算法在FIR数字滤波器设计中的应用[J]. 计算机工程与应用, 2008, 44(33): 83-85.
[2]	郝润芳，李鸿燕，王华奎. 基于Parks-McClellan算法的超宽带脉冲设计[J]. 计算机工程与应用, 2007, 43(17): 148-150.

基于杂交粒子群算法的FIR数字滤波器设计

FIR digital filter design based on crossbreeding particle swarm optimization algorithm

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